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Review of Mixed-Methods Research in Nursing
Ahtisham Younas1, Maria Pedersen, Jude Laoagan Tayaben
1Ahtisham Younas, MN, BSN, RN, is Doctoral Student, Faculty of Nursing, Memorial University of Newfoundland, St. John's, Canada. Maria Pedersen PhD, MPH, RN, is Assistant Professor, Department of Nursing and Nutrition, Faculty of Health, University College, Copenhagen, Denmark. Jude Laoagan Tayaben, PhD, RN, is Dean, College of Nursing, Benguet State University, Philippines.
Mixed-methods research in nursing is emerging, with low prevalence and challenges in justification and data integration. Enhancing rigor requires education on advanced integration techniques.
Area of Science:
- Nursing Research
- Methodology
Background:
- Mixed-methods research in nursing faces challenges in justification and data integration, impacting study rigor.
- Nurse researchers often struggle with the complexities of combining qualitative and quantitative data effectively.
Purpose of the Study:
- To determine the 5-year prevalence of mixed-methods research in nursing journals.
- To assess the extent of integration between qualitative and quantitative findings in published nursing studies.
Main Methods:
- A 5-year hand-search of ten nursing journals and three databases.
- Methodological assessment of mixed-methods studies by three independent reviewers using a standardized checklist.
Main Results:
- Mixed-methods studies constituted 1.89% of publications over five years.
- Significant methodological weaknesses were found, including lack of design justification (31%) and paradigm identification (95%).
- While 73% of studies reported data integration, 83% used narrative summaries, with limited use of advanced methods like joint displays or triangulation.
Conclusions:
- Mixed-methods research in nursing is nascent, with prevalent methodological limitations.
- Advanced data integration methods are needed to improve the quality and rigor of nursing research.
- Further education and support for nurse researchers on mixed-methods design and analysis are crucial.
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